Data Engineer
Listed on 2025-12-31
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IT/Tech
Data Engineer
Company Overview
Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity.
We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.
The Defense Health Agency (DHA) is a joint, integrated Combat Support Agency that enables the Army, Navy, and Air Force medical services to provide a medically ready force and a ready medical force to Combatant Commands during peacetime and wartime. Established to enhance the delivery of integrated, affordable, and high-quality health services, the DHA supports Military Health System (MHS) beneficiaries and drives the integration of clinical and business processes across the MHS.
The agency plays a pivotal role in ensuring military personnel and their families receive comprehensive healthcare, thus maintaining operational readiness and overall force health protection.
Pantheon Data is seeking a Data Engineer with a strong background in designing and implementing data-centric technical solutions to support the Defense Health Agency (DHA). The ideal candidate will have hands‑on experience with data integration, migration, and transformation pipelines, preferably in healthcare or federal environments, and a willingness to quickly adapt and learn new technologies. This role will directly support DHA's modernization initiatives by migrating and integrating data from legacy health IT systems into secure, cloud-first architectures.
The Data Engineer must be able to communicate clearly with both technical peers and non-technical stakeholders, such as program managers and clinical staff, to ensure data solutions meet mission objectives.
- Conduct data profiling, quality assessments, and validation of relational databases (e.g., SQL Server, Oracle, Postgre
SQL) to define mapping rules and support DHA data governance. - Design and develop ETL pipelines to support data integration and migration from legacy systems (including health and HR systems) into modern platforms such as Salesforce, AWS Gov Cloud, and Advana‑aligned data environments.
- Support the development of authoritative data repositories and data lakes to enable interoperability and analytics across DHA's enterprise health IT ecosystem.
- Work collaboratively within a growing engineering team to build and sustain scalable, secure, and resilient technical solutions that support DHA's enterprise data strategy.
- Partner with technical leads and program stakeholders to design and deliver solutions that align with DHA's mission, exceed customer expectations, and comply with DoD standards (HIPAA, FedRAMP, DoD IL).
- 5 years professional, hands‑on experience in a data engineering role.
- Bachelor's degree in Computer Science or a related field.
- Expert‑level SQL, relational databases.
- Experience with ETL or data migration.
- Excellent verbal communication skills with the ability to interact clearly and succinctly in peer review and design sessions.
- Willing to learn/contribute meaningfully across technical areas of our projects.
- Working knowledge of CI/CD methodology and related tools for database development.
- Working knowledge of Agile Scrum methodology.
- Detail‑oriented, self‑motivated, and organized.
- Ability to work effectively remotely in cross‑functional teams.
- Ability to meet deadlines and produce quality work.
- Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.
- Strong experience with Python.
- Experience integrating data from Sales Force.
- Experience writing ETL source‑target…
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